Senior Agentic AI Engineer 10957571

ITProposal; Amsterdam; On-site; EUR 110,000 - 160,000; Full time

Job summary

ITProposal in Amsterdam is seeking a Senior Agentic AI Engineer to design, build, and deploy enterprise‑grade AI solutions leveraging LLMs, RAG, multi‑agent systems, and cloud platforms. You will own end‑to‑end AI pipelines, MLOps, and governance, collaborating with product and engineering teams to deliver scalable AI‑driven finance solutions.

The role is onsite in Amsterdam, requires 8+ years in AI/Software/Data engineering, strong Python/SQL, and experience with LangChain, Databricks, and

Qualifications

• 8+ years in Software/Data/AI Engineering.
• Strong programming in Python and SQL.
• Hands-on with LLMs/Agentic AI/RAG and embeddings.

Responsibilities

• Develop advanced Agentic AI applications using LLMs, RAG, embeddings, and vector databases.
• Build AI workflows with LangChain, LlamaIndex, and cloud AI services (Azure/AWS).
• Design scalable data pipelines with Databricks, Spark, Airflow, and cloud-native architectures.
• Implement MLOps including deployment, monitoring, retraining, and governance.
• Collaborate with stakeholders to deliver AI-driven solutions.
• Ensure platform security, governance, and reliability.

Skills

8+ years exp

Python

SQL

LLMs

Agentic AI

RAG architectures

Embeddings

Tools

LangChain

LlamaIndex

Azure OpenAI

Databricks

Spark

Airflow

Docker

Kubernetes

Job description

About the job Senior Agentic AI Engineer 10957571

Senior Agentic AI Engineer

Requirement ID: 10957571 Location: Amsterdam (Onsite) Start Date: 16 Sep 2026 Duration: 6 Months Status: Open Rate: Neg

Role Overview

We are seeking a highly skilled Senior Agentic AI Engineer (8–10 years) to design, build, and deploy enterprise‑grade AI solutions leveraging LLMs, RAG architectures, multi‑agent systems, and cloud-native AI platforms. This role focuses on developing intelligent automation, AI‑powered assistants, and scalable decision‑support systems for financial services and capital markets.

You will work end‑to‑end across AI engineering, data pipelines, MLOps, and cloud deployment, ensuring production‑ready, secure, and governed AI solutions.

Key Responsibilities

• Develop advanced Agentic AI applications using LLMs, RAG, embeddings, and vector databases.
• Build and optimize AI workflows using LangChain, LlamaIndex, and cloud AI services (Azure/AWS).
• Design scalable AI and data pipelines using Databricks, Spark, Airflow, and cloud-native architectures.
• Implement MLOps practices including model deployment, monitoring, evaluation, and automated retraining.
• Collaborate with business stakeholders, product owners, and engineering teams to deliver AI-driven solutions.
• Ensure AI platform security, governance, compliance, and reliability.

Required Skills & Experience

• 8+ years in Software Engineering, Data Engineering, or AI Engineering.
• Strong programming skills in Python and SQL.
• Hands‑on experience with LLMs, Agentic AI, RAG, embeddings, vector databases.
• Experience with LangChain, LlamaIndex, Azure OpenAI, or similar frameworks.
• Knowledge of Databricks, Spark, Airflow, and cloud platforms (Azure/AWS).
• Experience with Docker, Kubernetes, and CI/CD pipelines.

Competencies

• Digital: Microsoft Azure
• Digital: Kubernetes
• Generative AI
• Capital Markets & Financial Services

Work Setup

• Mode: Complete Onsite
• City: Amsterdam
• Language: English (no local language required)